Empirical Methods in Natural Language Processing (EMNLP) 2024
Empirical Methods in Natural Language Processing (EMNLP) 2024
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Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials
In practice, training using federated learning can be orders of magnitude slower than standard centralized training. This severely limits the amount of experimentation...
Towards Time-Series Reasoning with LLMs
Multi-modal large language models (MLLMs) have enabled numerous advances in understanding and reasoning in domains like vision, but we have not yet seen...
BISCUIT: Scaffolding LLM-Generated Code with Ephemeral UIs in Computational Notebooks
This paper was accepted at IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) 2024
Programmers frequently engage with machine learning tutorials in computational...
KGLens: Towards Efficient and Effective Knowledge Probing of Large Language Models with Knowledge Graphs
This paper was accepted at the Workshop Towards Knowledgeable Language Models 2024.
Large Language Models (LLMs) might hallucinate facts, while curated Knowledge Graph (KGs)...
Delayed Fusion: Integrating Large Language Models into First-Pass Decoding in End-to-end Speech Recognition
This paper presents an efficient decoding approach for end-to-end automatic speech recognition (E2E-ASR) with large language models (LLMs). Although shallow fusion is the...
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
Modern wearable devices can conveniently record various biosignals in the many different environments of daily living, enabling a rich view of individual health....
Scalable Private Search with Wally
This paper presents Wally, a private search system that supports efficient semantic and keyword search queries against
large databases. When sufficiently many clients are...
Momentum Approximation in Asynchronous Private Federated Learning
This paper was accepted for presentation at the International Workshop on Federated Foundation Models (FL@FM-NeurIPS'24), held in conjunction with NeurIPS 2024.
Asynchronous protocols have...
eaSEL: Promoting Social-Emotional Learning and Parent-Child Interaction Through AI-Mediated Content Consumption
As children increasingly consume media on devices, parents look for ways this usage can support learning and growth, especially in domains like social-emotional...
